Non-convex emission constrained economic dispatch using a new self-adaptive particle swarm optimization technique

Mandal, Kamal Krishna; Mandal, Sourav; Bhattacharya, Bidishna; Chakraborty, Nilanjan

doi:10.1016/j.asoc.2014.11.033

Cited by 63 publications

(23 citation statements)

References 20 publications

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“…where F is the total fuel cost (Rs/h), a i , b i , c i are the fuel cost coefficients of generator i, P i is the power generated by i-th unit, and n is the number of generators [16].…”

Section: Fitness Functionmentioning

confidence: 99%

“…where E is the total amount of emission (lb/h or kg/h), d i , e i , f i are the NO x emission coefficients of generator i [16].…”

Section: Fitness Functionmentioning

confidence: 99%

“…When w 1 is 1 and w 2 is 0, the problem becomes pure economic dispatch, when w 1 is 0 and w 2 is 1, the problem becomes pure environmental dispatch, when w 1 is 1 and w 2 is 1, the problem becomes environmental economic dispatch [16].…”

Section: Fitness Functionmentioning

confidence: 99%

“…In the environmental economic dispatch problem, there are some constraints that must be taken into consideration while solving the problem and they are listed below [16].…”

Section: Constraintsmentioning

confidence: 99%

See 3 more Smart Citations

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

Akkaş¹,

Çam²,

Eke³

et al. 2018

Electrica

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The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally. However, economical dispatch can no longer be considered alone because of environmental problems that are derived from emissions such as nitrogen oxide, carbon dioxide, and sulfur dioxide. In this study, the problem of environmental economic load dispatch (EELD) in a power system of six generators is addressed both by neglecting and including line transmission losses using a modified genetic algorithm and a modified artificial bee colony optimization method. The results of these modified algorithms are compared with those of the unmodified versions. The results demonstrate that the proposed new methods have better economic and environmental distribution performances. Accordingly, it can be concluded that the new methods are more effective and should be adopted.

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“…where F is the total fuel cost (Rs/h), a i , b i , c i are the fuel cost coefficients of generator i, P i is the power generated by i-th unit, and n is the number of generators [16].…”

Section: Fitness Functionmentioning

confidence: 99%

“…where E is the total amount of emission (lb/h or kg/h), d i , e i , f i are the NO x emission coefficients of generator i [16].…”

Section: Fitness Functionmentioning

confidence: 99%

Section: Fitness Functionmentioning

confidence: 99%

“…In the environmental economic dispatch problem, there are some constraints that must be taken into consideration while solving the problem and they are listed below [16].…”

Section: Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

Akkaş¹,

Çam²,

Eke³

et al. 2018

Electrica

View full text Add to dashboard Cite

show abstract

“…With the advent of environmental regulations, power generating unit emissions were introduced and used as part of the cost function for economic dispatch. Economic dispatch became then a constrained optimal problem (COP) to minimize the cost of generation, while satisfying the equality and inequality constraints of the power system and keeping pollution within limits [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Case Study of Power Economic Emission Dispatch Using an Integrated Algorithm

Chiang¹

2017

dteees

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Abstract. This paper presents an integrated algorithm of power economic dispatch problem aiming to manage emissions for generating units of power systems. Differential evolution (DE) can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty to solution searching. To handle the constrained optimal problem (COP), the ε-constraint technique is employed. The proposed approach integrates the ε-constraint technique, the DE, and the MU. The proposed method (DE-MU) has the merit of automatically adjusting the randomly given penalty to a proper value and requiring only a small-size population. Numerical results indicate that the proposed approach is superior to previous methods in solution quality.

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Impact of Demand Response Programs on the Operation of Power and Gas Systems

Amiri

Ameli

2022

Whole Energy Systems

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Non-convex emission constrained economic dispatch using a new self-adaptive particle swarm optimization technique

Cited by 63 publications

References 20 publications

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

A Case Study of Power Economic Emission Dispatch Using an Integrated Algorithm

Impact of Demand Response Programs on the Operation of Power and Gas Systems

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